Software Engineer -Data Processing Backend

Posted Yesterday
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Toronto, ON, CAN
Hybrid
74K-108K Annually
Junior
Artificial Intelligence • Big Data • Enterprise Web • Fintech • Software • Financial Services
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The Role
Develop and maintain scalable backend applications using C#/.NET, SQL Server, and AWS. Build RESTful APIs, data processing pipelines, and database-driven services; optimize performance, write tests, participate in code reviews and CI/CD, troubleshoot production issues, and support cloud modernization. Collaborate with product managers and cross-functional engineering teams while contributing to AI-assisted development, secure coding, automation, and an on-call rotation.
Summary Generated by Built In

At Morningstar, helping investors is what brings us together and drives our work. We are looking for a Software Engineer who’s an expert with C# .NET and SQL to join our team and grow with us. Every day, you’ll work with team members across disciplines developing products for investors. You’ll interact daily with our product managers to understand our domain and create technical solutions that push us forward. We want to work with other engineers who bring knowledge and excitement about our opportunities. This position is based in our Toronto office.


Job Responsibilities:


  • Design, develop, test, and maintain scalable, reliable, and high-performance applications using C#/.NET, SQL Server, and AWS technologies.
  • Build and optimize backend services, RESTful APIs, data processing pipelines, and database-driven applications.
  • Apply object-oriented design principles, design patterns, and software engineering best practices to deliver maintainable, high-quality solutions.
  • Develop and optimize SQL queries, stored procedures, and database operations to improve performance and scalability.
  • Leverage AI-assisted development tools, such as GitHub Copilot or equivalent solutions, to improve coding efficiency, debugging, refactoring, unit testing, and code quality.
  • Explore and evaluate emerging AI technologies and identify practical opportunities to improve engineering productivity, automation, and application capabilities.
  • Participate in code reviews, automated testing, continuous integration, and continuous deployment processes.
  • Collaborate with product managers, business analysts, QA engineers, and other development teams to translate business requirements into effective technical solutions.
  • Troubleshoot complex technical issues, perform root cause analysis, and implement sustainable solutions.
  • Contribute to cloud infrastructure modernization, application performance optimization, and engineering automation initiatives.
  • Take ownership of assigned deliverables, proactively identify risks, and drive tasks through completion.
  • Participate in a rotating on-call schedule to support production systems and maintain operational reliability.
  • Continuously learn, share technical knowledge, and contribute to improving engineering practices across the team.

Qualifications:


  • Bachelor's degree in computer science, Software Engineering, or a related technical field, or equivalent practical experience.
  • 2+ years of professional software development experience building and supporting production applications.
  • Strong programming skills in C# and .NET, including object-oriented programming, asynchronous programming, and application design.
  • Strong SQL Server development skills, including T-SQL, stored procedures, query optimization, and database performance troubleshooting.
  • Experience developing RESTful APIs, backend services, and database-driven applications.
  • Hands-on experience with AWS services such as EC2, Lambda, S3, SQS, API Gateway, ECS, or similar cloud technologies.
  • Familiarity with AI-assisted software development tools such as GitHub Copilot, ChatGPT, or equivalent solutions, and an understanding of how to use them effectively and responsibly in development workflows.
  • Solid understanding of software design principles, common design patterns, and building scalable and reliable systems.
  • Experience with unit testing, automated testing, debugging, and code review practices.
  • Familiarity with Git-based source control, CI/CD pipelines, and deployment automation tools such as Harness, AWS CodePipeline, or equivalent technologies.
  • Understanding of application security, secure coding practices, and common web application vulnerabilities.
  • Experience working in Agile development environments and using collaboration tools such as Jira.
  • Strong analytical, problem-solving, organizational, and communication skills.
  • Ability to work independently, manage multiple priorities, and collaborate effectively within a cross-functional engineering team

Preferred Skills:


- Python and/or Java Experience
- Machine Learning Familiarity

Base Salary Compensation Range$73,791.00-$108,225.00

Incentive Target Percentage

7.5% Annual

Morningstar's hybrid work environment gives you the opportunity to collaborate in-person each week as we've found that we're at our best when we're purposely together on a regular basis. In most of our locations, our hybrid work model is four days in-office each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues.

100_MstarResCanad Morningstar Research, Inc. (Canada) Legal Entity

Skills Required

  • Bachelor's degree in computer science, software engineering, or a related technical field, or equivalent practical experience
  • 2+ years of professional software development experience building and supporting production applications
  • Strong programming skills in C# and .NET, including object-oriented programming, asynchronous programming, and application design
  • Strong SQL Server development skills, including T-SQL, stored procedures, query optimization, and database performance troubleshooting
  • Experience developing RESTful APIs, backend services, and database-driven applications
  • Hands-on experience with AWS services such as EC2, Lambda, S3, SQS, API Gateway, ECS, or similar cloud technologies
  • Familiarity with AI-assisted software development tools such as GitHub Copilot, ChatGPT, or equivalent solutions
  • Understanding of effective and responsible use of AI-assisted development tools
  • Solid understanding of software design principles, common design patterns, and scalable and reliable systems
  • Experience with unit testing, automated testing, debugging, and code review practices
  • Familiarity with Git-based source control, CI/CD pipelines, and deployment automation tools such as Harness or AWS CodePipeline
  • Understanding of application security, secure coding practices, and common web application vulnerabilities
  • Experience working in Agile development environments and using collaboration tools such as Jira
  • Strong analytical, problem-solving, organizational, and communication skills
  • Ability to work independently, manage multiple priorities, and collaborate effectively within a cross-functional engineering team
  • Python and/or Java experience
  • Machine learning familiarity

What the Team is Saying

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Elizabeth Collins
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Rod Diefendorf
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Morningstar Compensation & Benefits Highlights

  • Parental & Family Support — Paid parental leave provides at least 16 weeks for primary caregivers and up to 8 weeks for secondary caregivers, alongside a global minimum of six weeks of paid caregiving leave. These policies extend family support beyond parental leave alone.
  • Leave & Time Off Breadth — Flexible time off, paid holidays, and a paid sabbatical after every four years of service create meaningful time-away options. Company reporting notes that 1,223 employees took paid sabbaticals in 2025, indicating the program’s active use.
  • Retirement Support — Employer retirement contributions or matching are offered with free access to Morningstar retirement-planning tools. This combination reinforces long-term savings and planning.

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The Company
HQ: Chicago, IL
11,500 Employees
Year Founded: 1984

What We Do

We are a global investment research and financial data company with 40-plus offices across North America, Europe, Australia, and Asia. Our products and services are used daily by individual investors, financial advisors, asset managers, retirement plan providers, and institutional investors. We provide data, research, and analysis across managed investment products, publicly listed companies, private capital markets, debt securities, and real-time global market data. The financial system can have real barriers—hidden information, friction that can slow decisions, and forces that can limit transparency and access. We work to remove them, bringing independent research, connected data, and investor-first tools to a system that needs more clarity. The people doing this work span research, technology, design, product, sales, and functional areas. We build many of our products in-house, so the work can connect directly to the tools investors use to make real financial decisions.

Why Work With Us

Morningstar’s missing is to empower investor success. We can only do that if our people feel empowered. That means finding people who think independently, bring a wide range of backgrounds with analytical rigor and genuine intellectual curiosity to the work.

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Morningstar Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Across most of our offices globally, employees work four days a week in the office and one day from home. We recognize that life doesn't always fit a fixed schedule and offer programs that can help provided increased workplace flexibility.

Typical time on-site: 4 days a week
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HQGlobal Headquarters
Ambler, Pennsylvania
Amsterdam - De Oliphant
Bucuresti, Bucuresti
Cape Town, Western Cape
Dubai
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Frankfurt - Junghofstraße
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Hong Kong
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Madrid, Comunidad de Madrid
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Mumbai - Platinum Park
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Sham Chun Hu, Guangdong
Singapore, Singapore
Stockholm - Birger Jarlsgatan
Sydney - International Tower
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Tokyo - Minato-ku
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Zürich, Zurich
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